Accountability means making sure someone is responsible for the actions and outcomes of AI systems. It’s about being ready to fix mistakes and improve the system when needed.
Example - Self-driving vehicles: For AI-driven cars, if there’s an accident, figuring out if the car's programming, the manufacturer, or something else is at fault is key to accountability.
6
61 reads
CURATED FROM
IDEAS CURATED BY
Explore pillars of Trustworthy and Responsible AI
“
Similar ideas to Accountability
Ensuring transparency and accountability in the realm of AI ethics stands as a formidable challenge, one that is central to fostering trust in AI systems and ensuring their responsible use.
The 'black box' nature of certain AI algorithms is akin to peering into the depths o...
... for the outcomes of your life. This means that you accept whatever problem you have in your life as your own job to fix.
It does not matter if it was your fault. It does not matter if it is or isn't fair. It doesn't matter what put you into this situation. Reaching for reasons ...
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Personalized microlearning
—
100+ Learning Journeys
—
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates